Mapping and Quantitative Trait Loci Analysis of Drought Tolerance in a Spring Wheat Population Using Amplified Fragment Length Polymorphism and Diversity Array Technology Markers

Alexander, Lauren M.; Kirigwi, Francis M.; Fritz, Allan K.; Fellers, John P.

doi:10.2135/cropsci2011.05.0267

Cited by 37 publications

(24 citation statements)

References 19 publications

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“…Two genomic regions were identified on chromosome 4A associated with yield stability coefficient ( Table 2 ), of which the first within a 4.8 cM interval explaining 12% of the variation (identified by markers M6564, M612 and M8365) represents a novel genomic region with almost similar effects on GY in the different environments. The second genomic region on chromosome 4A at 233.7 cM, with higher allelic effects in irrigated environment compared to stress environments, is within 1.8 to 7.4 cM from QTL reported to be associated with GY, DSI and HI on chromosome 4AL 13 17 35 36 . The genomic region identified at 153.6 cM on chromosome 5B most likely falls in the region of the stable QTL for GY identified in three elite populations under irrigated environments by GWAM 15 .…”

Section: Resultsmentioning

confidence: 87%

Identification of genomic regions for grain yield and yield stability and their epistatic interactions

Sehgal

Autrique

Singh

et al. 2017

Sci Rep

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The task of identifying genomic regions conferring yield stability is challenging in any crop and requires large experimental data sets in conjunction with complex analytical approaches. We report findings of a first attempt to identify genomic regions with stable expression and their individual epistatic interactions for grain yield and yield stability in a large elite panel of wheat under multiple environments via a genome wide association mapping (GWAM) approach. Seven hundred and twenty lines were genotyped using genotyping-by-sequencing technology and phenotyped for grain yield and phenological traits. High gene diversity (0.250) and a moderate genetic structure (five groups) in the panel provided an excellent base for GWAM. The mixed linear model and multi-locus mixed model analyses identified key genomic regions on chromosomes 2B, 3A, 4A, 5B, 7A and 7B. Further, significant epistatic interactions were observed among loci with and without main effects that contributed to additional variation of up to 10%. Simple stepwise regression provided the most significant main effect and epistatic markers resulting in up to 20% variation for yield stability and up to 17% gain in yield with the best allelic combination.

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Section: Resultsmentioning

confidence: 87%

Identification of genomic regions for grain yield and yield stability and their epistatic interactions

Sehgal

Autrique

Singh

et al. 2017

Sci Rep

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“…High reproducibility, rapid generation and high frequency of identifiable polymorphisms make AFLP analysis an attractive technique for determining linkages by analyzing individuals from segregating populations (Alexander et al, 2012). AFLPs are more reproducible than RAPDs (Savelkoul et al, 1999), thus are more reliable for population and genetic studies.…”

Section: Amplified Fragment Length Polymorphismmentioning

confidence: 99%

Development and use of molecular markers: past and present

Grover

Sharma

2014

Critical Reviews in Biotechnology

290

149

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Molecular markers, due to their stability, cost-effectiveness and ease of use provide an immensely popular tool for a variety of applications including genome mapping, gene tagging, genetic diversity diversity, phylogenetic analysis and forensic investigations. In the last three decades, a number of molecular marker techniques have been developed and exploited worldwide in different systems. However, only a handful of these techniques, namely RFLPs, RAPDs, AFLPs, ISSRs, SSRs and SNPs have received global acceptance. A recent revolution in DNA sequencing techniques has taken the discovery and application of molecular markers to high-throughput and ultrahigh-throughput levels. Although, the choice of marker will obviously depend on the targeted use, microsatellites, SNPs and genotyping by sequencing (GBS) largely fulfill most of the user requirements. Further, modern transcriptomic and functional markers will lead the ventures onto high-density genetic map construction, identification of QTLs, breeding and conservation strategies in times to come in combination with other high throughput techniques. This review presents an overview of different marker technologies and their variants with a comparative account of their characteristic features and applications.

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“…For example, Merchuk-Ovnat et al (2016) showed that the introgression of QTLs on chromosomes 1B and 2B of T. turgidum into T. aestivum can enhance drought tolerance in domesticated wheat. On the other hand, a number of studies have proposed that chromosome 4A has an important role to play in drought tolerance (Alexander et al, 2012;Edae et al, 2014;Kumar et al, 2012;Nezhad et al, 2012). For instance, Edae et al (2014) found chromosome regions (on 4A) that were associated with drought tolerance related traits such as the drought susceptibility index, leaf senescence, green leaf area and flag leaf traits.…”

Section: Introductionmentioning

confidence: 99%

Association mapping of drought tolerance indices in wheat: QTL-rich regions on chromosome 4A

Ballesta

Mora

Pozo

2020

Sci. agric. (Piracicaba, Braz.)

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Drought is likely the main abiotic stress that affects wheat yield. The identification of drought-tolerant genotypes represents an effective way of dealing with the continuous decrease in water resources as well as the increase in world population. The aim of this study was to identify single nucleotide polymorphisms (SNP) associated with drought tolerance indices in wheat by using a genome-wide association study (GWAS) under fully irrigated and rain-fed conditions. The drought tolerance indices (i.e., Stress Susceptibility Index, Stress Tolerance Index, Tolerance Index and Yield Stability Index) were calculated based on grain yield, 1,000-kernel weight and kernels per spike. The association panel was genotyped using genotyping-bysequencing (GBS). A total of 175 SNPs exhibited statistical evidence of association with at least one drought tolerance index, explaining up to 6 % of the phenotypic variation. Forty-five SNPs were associated with more than one tolerance index (up to 4 agronomic traits). Most associations were located on chromosome 4A, supporting the hypothesis that this chromosome has a key role in drought tolerance which should be exploited for wheat improvement. In addition, statistical analysis detected SNPs associated with tolerance indices in both growing seasons, providing information about genetic regions with stable effects under different environmental conditions. This GWAS experiment serves as one of the few studies on association mapping for drought tolerance indices in wheat, which could increase the efficiency of rain-fed and irrigated crop production.

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Mapping and Quantitative Trait Loci Analysis of Drought Tolerance in a Spring Wheat Population Using Amplified Fragment Length Polymorphism and Diversity Array Technology Markers

Cited by 37 publications

References 19 publications

Identification of genomic regions for grain yield and yield stability and their epistatic interactions

Identification of genomic regions for grain yield and yield stability and their epistatic interactions

Development and use of molecular markers: past and present

Association mapping of drought tolerance indices in wheat: QTL-rich regions on chromosome 4A

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